Data Platform Engineer, R&D
Posted Updated 2
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Summary
Build and operate the scientific data platform for Gillette (P&G) R&D in Singapore: engineering scalable pipelines and services that connect lab, OMICS, assay, formulation, and consumer data for analytics and AI-driven discovery. Core stack centers on Python, SQL, databases, APIs, and cloud data tooling.
Job Description
Job Location SINGAPORE TC-BIOPOLIS Job Description Overview of role You will have the opportunity to build and
operate
the scalable scientific data foundation connecting consumer, biological, OMICS, assay, formulation, and performance data. You will be responsible to deliver reliable, traceable, and
scalable
pipelines and services that reduce manual handling and provide trusted data for analytics, computational biology, predictive modeling, and AI-supported discovery. u00A0
You will own data pipelines, interfaces, technical controls, data availability, reliability, operational support, and scalability. If this sounds exciting to you, read on!
Key Responsibilities
u00A0 1. Engineer Scientific Data Pipelines Build scalable pipelines to ingest, transform, standardize, and connect scientific data.
u00A0
Integrate laboratory, OMICS, imaging, assay, phenotype, formulation, consumer, and performance datasets.
u00A0
Automate data movement into governed analytical environments.
u00A0
Translate approved data-product requirements into maintainable technical designs.
u00A0
2. Implement Trusted Data Controls
u00A0 Implement metadata, provenance, versioning, identity resolution, access, and data-quality controls
Maintain traceability to samples, methods, experimental conditions, transformations, and source systems
u00A0
Implement approved semantic and ontology requirements
Test transformations, interfaces, and controls for reliable downstream use
3.
Operate
Scalable Data Services
u00A0 Build and
maintain
interfaces among repositories, knowledge graphs, analytical tools, computational models, and AI workflows
Monitor data availability, pipeline performance, failures, and dependencies
Resolve bottlenecks affecting data access, reuse, and analytical readiness
Own operational support and reliability for pipelines, interfaces, and data services
Job Qualifications Bachelors,
Masters
or PhD degree in Computer Science, Data Engineering, Software Engineering, or
a related
field.
u00A0
Strong hands-on experience building data pipelines, integrations, and
scalable
data services.
u00A0
Proficiency
in Python, SQL, or comparable
data-engineering
technologies.
u00A0
Experience with structured and unstructured data, databases, APIs, and cloud-based environments.
u00A0
Understanding of
metadata, provenance, data quality, versioning, access controls, testing, and operational support.
u00A0
Preferred Qualifications
u00A0 Familiarity with orchestration, data lakes, warehouses,
lakehouses
, APIs, and cloud platforms
Experience implementing semantic models, ontologies, knowledge graphs, or FAIR data practices
Experience engineering biological, OMICS, imaging, laboratory, healthcare, or complex scientific data
u00A0
Experience building data foundations for analytics, machine learning, or AI
About us We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Alwaysu00AE, Arielu00AE, Gilletteu00AE, Head & Shouldersu00AE, Herbal Essencesu00AE, Oral-Bu00AE, Pampersu00AE, Panteneu00AE, Tampaxu00AE and more. Our community includes operations in approximately 70 countries worldwide. Visit http://www.pg.com to know more. Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why weu2019re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being u201Cin touchu201D so we craft brands and products to improve the lives of the worldu2019s consumers now and in the future. We want you to inspire us with your unrivaled ideas. We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.
Job Schedule Full time Job Number R000159381 Job Segmentation Experienced Professionals
Job Location SINGAPORE TC-BIOPOLIS Job Description Overview of role You will have the opportunity to build and
operate
the scalable scientific data foundation connecting consumer, biological, OMICS, assay, formulation, and performance data. You will be responsible to deliver reliable, traceable, and
scalable
pipelines and services that reduce manual handling and provide trusted data for analytics, computational biology, predictive modeling, and AI-supported discovery. u00A0
You will own data pipelines, interfaces, technical controls, data availability, reliability, operational support, and scalability. If this sounds exciting to you, read on!
Key Responsibilities
u00A0 1. Engineer Scientific Data Pipelines Build scalable pipelines to ingest, transform, standardize, and connect scientific data.
u00A0
Integrate laboratory, OMICS, imaging, assay, phenotype, formulation, consumer, and performance datasets.
u00A0
Automate data movement into governed analytical environments.
u00A0
Translate approved data-product requirements into maintainable technical designs.
u00A0
2. Implement Trusted Data Controls
u00A0 Implement metadata, provenance, versioning, identity resolution, access, and data-quality controls
Maintain traceability to samples, methods, experimental conditions, transformations, and source systems
u00A0
Implement approved semantic and ontology requirements
Test transformations, interfaces, and controls for reliable downstream use
3.
Operate
Scalable Data Services
u00A0 Build and
maintain
interfaces among repositories, knowledge graphs, analytical tools, computational models, and AI workflows
Monitor data availability, pipeline performance, failures, and dependencies
Resolve bottlenecks affecting data access, reuse, and analytical readiness
Own operational support and reliability for pipelines, interfaces, and data services
Job Qualifications Bachelors,
Masters
or PhD degree in Computer Science, Data Engineering, Software Engineering, or
a related
field.
u00A0
Strong hands-on experience building data pipelines, integrations, and
scalable
data services.
u00A0
Proficiency
in Python, SQL, or comparable
data-engineering
technologies.
u00A0
Experience with structured and unstructured data, databases, APIs, and cloud-based environments.
u00A0
Understanding of
metadata, provenance, data quality, versioning, access controls, testing, and operational support.
u00A0
Preferred Qualifications
u00A0 Familiarity with orchestration, data lakes, warehouses,
lakehouses
, APIs, and cloud platforms
Experience implementing semantic models, ontologies, knowledge graphs, or FAIR data practices
Experience engineering biological, OMICS, imaging, laboratory, healthcare, or complex scientific data
u00A0
Experience building data foundations for analytics, machine learning, or AI
About us We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Alwaysu00AE, Arielu00AE, Gilletteu00AE, Head & Shouldersu00AE, Herbal Essencesu00AE, Oral-Bu00AE, Pampersu00AE, Panteneu00AE, Tampaxu00AE and more. Our community includes operations in approximately 70 countries worldwide. Visit http://www.pg.com to know more. Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why weu2019re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being u201Cin touchu201D so we craft brands and products to improve the lives of the worldu2019s consumers now and in the future. We want you to inspire us with your unrivaled ideas. We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.
Job Schedule Full time Job Number R000159381 Job Segmentation Experienced Professionals